Solanaceae Family Leaf Disease Image Dataset
Description
The Solanaceae Family Leaf Disease Dataset (SFLD Dataset) is a hierarchical leaf image dataset comprising healthy and diseased leaf samples from three Solanaceae crops: eggplant (Solanum melongena), potato (Solanum tuberosum), and tomato (Solanum lycopersicum). The dataset contains 2,593 original leaf images and 17,000 augmented leaf images, organized into two subsets: (i) Original Leaf Image Dataset and (ii) Augmented Leaf Image Dataset. The dataset includes healthy leaves and disease-affected leaves belonging to bacterial, fungal, and viral categories. The disease classes represented in the dataset are: Eggplant: Healthy, Downy Mildew, Septoria Leaf Spot, and Eggplant Mosaic Virus. Potato: Healthy, Bacterial Soft Rot, Late Blight, Potato Leaf Roll Virus, Potato Virus X (PVX), and Potato Virus Y (PVY). Tomato: Healthy, Bacterial Canker, Cercospora Leaf Spot, Late Blight, Tomato Leaf Curl Virus, Tomato Mosaic Virus, and Tomato Spotted Wilt Virus. The dataset is organized in a hierarchical directory structure based on crop species, disease category, and disease class, enabling efficient use in supervised learning tasks. The augmented subset was generated from the original images to increase sample diversity and improve the robustness and generalization capability of machine learning and deep learning models. The SFLD Dataset is intended for applications including plant disease classification, automated disease diagnosis, computer vision research, transfer learning, and precision agriculture systems for crop health monitoring and management.
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Institutions
- Chittagong University of Engineering & TechnologyChittagong, Chittagong